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An evaluation of automated homology modelling methods at low target template sequence similarity
2007
Bioinformatics
Motivation: There are two main areas of difficulty in homology modelling that are particularly important when sequence identity between target and template falls below 50%: sequence alignment and loop building. These problems become magnified with automatic modelling processes, as there is no human input to correct mistakes. As such we have benchmarked several stand-alone strategies that could be implemented in a workflow for automated high-throughput homology modelling. These include three new
doi:10.1093/bioinformatics/btm262
pmid:17510171
fatcat:ogwxuwety5c6dcmam6k4bnnt3y